Cone beam CT scanning

Abstract

A CBCT system is described that includes a radiation source for emitting a cone beam of radiation in a beam direction towards an object, a detector for detecting the cone beam of radiation, and a positioner for moving the radiation source and the object according to a scanning trajectory. The system is operated according to a sampling pattern that includes intersections of the scanning trajectory and a reconstruction trajectory, wherein motion of the radiation source is substantially confined to a spherical shell. The positioner moves the radiation source at a speed higher than a highest speed of the object by a factor of at least 10. The largest angular discrepancy between any vector in a range of the scanning trajectory and the nearest sample of the scanning trajectory does not exceed 10°, preferably 6° and more preferably 3°.

Description

FIELD OF THE INVENTION[0001]The present invention generally relates to a method and system for cone beam computerized tomography (CBCT).BACKGROUND OF THE INVENTION[0002]Cone beam CT projections of an object are a function of scanning trajectory, that is, the relative positions of the irradiating source and the object. Generally, such a trajectory includes rotation about a rotational axis intersecting the object, similar to conventional CT. Of particular interest is imaging of a quasi-short object, which is the reconstruction of a short portion of a long object from longitudinally truncated cone beam data.[0003]In a spherical coordinate system, the two angular coordinates of a trajectory sample, i.e., the angle in the fan direction (Phi—φ) and the cone direction (Theta—θ) can be viewed as a 2D vector in a Phi / Theta plane, and respective ranges of Phi and Theta define the trajectory range.[0004]FIG. 1 illustrates examples of prior art scanning trajectories in terms of (φ, θ) coordinat...

AI Technical Summary

Benefits of technology

This approach enables precise object reconstruction by achieving high-density sampling patterns, allowing for the use of reconstruction algorithms across various scanning trajectories, thereby improving the accuracy of object density estimation and treatment planning.

Problems solved by technology

Data sets (projections) associated with such a trajectory are theoretically insufficient for precise object reconstruction.

Such approximate algorithms may not be adequate for estimating object density values with sufficient precision required for radiotherapy treatment planning.

Reconstruction error increases with increased beam cone angle.

Consequently, the associated sampling patterns are uniquely related to the respective trajectories such that reconstruction algorithms designed for a particular trajectory cannot be used for another—the respective sampling patterns are too different.

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